Update num_cycles description

Author: Arsh Zahed

src/together/cli/api/finetune.py

@@ -87,7 +87,7 @@ def fine_tuning(ctx: click.Context) -> None:
     "--num-cycles",
     type=float,
     default=0.5,
-    help="Number of cycles for the cosine learning rate scheduler.",
+    help="Number or fraction of cycles for the cosine learning rate scheduler.",
 )
 @click.option(
     "--warmup-ratio",

src/together/resources/finetune.py

@@ -301,7 +301,7 @@ def create(
             lr_scheduler_type (Literal["linear", "cosine"]): Learning rate scheduler type. Defaults to "linear".
             min_lr_ratio (float, optional): Min learning rate ratio of the initial learning rate for
                 the learning rate scheduler. Defaults to 0.0.
-            num_cycles (float, optional): Number of cycles for the cosine learning rate scheduler. Defaults to 0.5.
+            num_cycles (float, optional): Number or fraction of cycles for the cosine learning rate scheduler. Defaults to 0.5.
             warmup_ratio (float, optional): Warmup ratio for the learning rate scheduler.
             max_grad_norm (float, optional): Max gradient norm. Defaults to 1.0, set to 0 to disable.
             weight_decay (float, optional): Weight decay. Defaults to 0.0.
@@ -680,7 +680,7 @@ async def create(
             lr_scheduler_type (Literal["linear", "cosine"]): Learning rate scheduler type. Defaults to "linear".
             min_lr_ratio (float, optional): Min learning rate ratio of the initial learning rate for
                 the learning rate scheduler. Defaults to 0.0.
-            num_cycles (float, optional): Number of cycles for the cosine learning rate scheduler. Defaults to 0.5.
+            num_cycles (float, optional): Number or fraction of cycles for the cosine learning rate scheduler. Defaults to 0.5.
             warmup_ratio (float, optional): Warmup ratio for the learning rate scheduler.
             max_grad_norm (float, optional): Max gradient norm. Defaults to 1.0, set to 0 to disable.
             weight_decay (float, optional): Weight decay. Defaults to 0.0.